9th International Congress on Biotechnology and Food Sciences
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Accepted Abstracts

Determinants of Adoption of Wheat Row Planting: The Case of Wogera District, North Gondar Zone, Amhara Regional State, Ethiopia

Yalemwork Amare*
Debertabor University, Ethiopia

Citation: Amare Y (2020) Determinants of Adoption of Wheat Row Planting: The Case of Wogera District, North Gondar Zone, Amhara Regional State, Ethiopia. SciTech BioTech-Food Sciences

Received: June 03, 2020         Accepted: June 08, 2020         Published: June 08, 2020

Abstract

Wheat is the fourth important cereal crop in Ethiopia agriculture. Its yield was low in Ethiopia. Adoption of improved technologies is one of the most promising ways to increase agricultural production and productivity. However; the adoption of these technologies was constrained by various factors. Therefore, this study was aimed at analyzing determinants of adoption of wheat row planting in wogera district North Gondar zone. The specific the objectives of this study were to identify factors affecting the adoption and intensity of what row planting; and to carry out relative cost benefit analysis on row planting against broadcasting technology on wheat production. Systematic random sampling technique was employed to select 154 wheat producers from three sample Kebeles in the study area. The study was used a cross sectional data collected from selected sample households through structured interview schedule. Both descriptive and econometric methods were used to analyze the data. The survey indicates that 43% were adopter and 57% non-adopters of wheat row planting. Tobit model was applied to identify factors that affect adoption and intensity of wheat row planting. The output of Tobit regression model indicated of the total 14 explanatory variables 6 variables were found to be significant to affect the adoption of wheat row planting. These was number of educated family member, extension contact, use of improved seed and training participation were positively and significantly affect the adoption of wheat row planting. On other hand Age of household head and distance to development center were negatively and significantly influenced row planting technology. The results of partial budgeting analysis showed that the adoption of row planting had profitable with the net change 2,973.13 birr per hectare. As a recommendation emphasis should be given to improve the adoption of row planting in the study area by focusing on the above mentioned variables.

 

Keywords: Adoption, Row planting, Tobit model